Technology

The environmental cost of training is a bit of a meme. The details are spread around, but basically, Alibaba trained a GPT-4 level-ish model on a relatively small number of GPUs... probably on par with a steel mill running for a long time, a comparative drop in the bucket compared to industrial processes. OpenAI is extremely inefficient, probably because they don't have much pressure to optimize GPU usage.

Inference cost is more of a concern with crazy stuff like o3, but this could dramatically change if (hopefully when) bitnet models come to frutition.

Still, I 100% agree with this. Closed LLM weights should be public domain, as many good models already are.

To speak of AI models being "made public domain" is to presuppose that the AI models in question are covered by some branch of intellectual property. Has it been established whether AI models (even those trained on properly licensed content) even are covered by some branch of intellectual property in any particular jurisdiction(s)? Or maybe by "public domain" the author means that they should be required to publish the weights and also that they shouldn't get any trade secret protections related to those weights?

Delete them. Wipe their databases. Make the companies start from scratch with new, ethically acquired training data.

I really don't care about AI used on designs for generic products.